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Aviation is responsible for around five percent of human-induced climate change.

Commercial aviation has become a cornerstone of our economy and society. It allows us to rapidly transport goods and people across the globe, facilitates over a third of all global trade by value, and supports 87.7 million jobs worldwide. However, the 80-tonne flying machines we see hurtling through our skies at near supersonic speeds also carry some serious environmental baggage.

My team’s recent review paper highlights some promising solutions the aviation industry could put in place now to reduce the harm flying does to our planet. Simply changing the routes we fly could hold the key to drastic reductions in climate impact.

When the MIT Lincoln Laboratory Supercomputing Center (LLSC) unveiled its TX-GAIA supercomputer in 2019, it provided the MIT community a powerful new resource for applying artificial intelligence to their research. Anyone at MIT can submit a job to the system, which churns through trillions of operations per second to train models for diverse applications, such as spotting tumors in medical images, discovering new drugs, or modeling climate effects. But with this great power comes the great responsibility of managing and operating it in a sustainable manner—and the team is looking for ways to improve.

“We have these powerful computational tools that let researchers build intricate models to solve problems, but they can essentially be used as black boxes. What gets lost in there is whether we are actually using the hardware as effectively as we can,” says Siddharth Samsi, a research scientist in the LLSC.

To gain insight into this challenge, the LLSC has been collecting detailed data on TX-GAIA usage over the past year. More than a million user jobs later, the team has released the dataset open source to the computing community.

A radical new idea for offshore wind turbines would replace tall unwieldy towers that had blades on top with lightweight, towerless machines whose blades resemble the loops of a whisk. Now new software can help optimize these unusual designs to help make them a reality, researchers say.

This new work comes as the U.S. government plans to boost offshore wind energy. In March, the White House announced a national goal to deploy 30 gigawatts of new offshore wind power by 2030. The federal government suggested this initiative could help power more than 10 million homes, support roughly 77,000 jobs, cut 78 million tonnes in carbon emissions, and spur US $12 billion in private investment per year. As part of this new plan, in June, the White House and eleven governors from along the East Coast launched a Federal-State Offshore Wind Implementation Partnership to further develop the offshore wind supply chain, including manufacturing facilities and port capabilities.

One reason offshore wind is attractive is the high demand for electricity on the coasts. People often live far away from where onshore wind is the strongest, and there is not enough space in cities for enough solar panels to power them, says Ryan Coe, a mechanical engineer in Sandia National Laboratories’ water-power group in Albuquerque.

Artificial General Intelligence — Short for AGI is a trending and recent topic of debate among AI researchers and computer scientists. A pressing issue for AI or artificial Intelligence is the AI alignment problem. The AI control problem could be the most important task for humanity to solve. There have been many suggestions from AI researchers to avoid the dangers of artificial general intelligence or a digital super-intellgience. It seems among the best solutions to this problem has been a merging scenario with AGI. Elon Musk has suggested we regulate artificial intelligence and we should proceed very carefully if humanity collectively decides that creating a digital super-intelligence is the right move. Elon Musk is the founder of many high tech companies, including Neuralink. Which develops implantable brain–machine interfaces. Elon Musk warns that AI is probably the biggest existential threat for humanity. AGI is probably even more dangerous than nuclear warheads and nobody would suggest we allow anyone to build nuclear weapons if they want. The pressing issue for a potential AGI development and eventually the creation of a digital super-intelligence is going to be increasingly relevant in the coming years. Dr. Ben Goertzel, CEO & Founder, of SingularityNET Foundation, is one of the world’s foremost experts in Artificial General Intelligence. According to him these reactions are probably going to look very silly to people a few decades from now, as they go about their lives which have been made tremendously easy and happy and fascinating compared to 2020 reality, via the wide rollout of advanced AGI systems to handle manufacturing service, and all the other practical jobs that humans now spend their time doing. Elon musk suggested, the merge scenario with A.I. is the one that seems like probably the best,” or as he put it on the Joe Rogan Experience. “If you can’t beat it, join it.

#AGI #AI #Artificialintelligence.

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Nuclear power will be capable of generating 38.4 percent of Poland’s electric power needs by 2043, and should raise the country’s GDP by over 1 percent, a report by the Polish Institute of Economics (PIE) has forecast.

The report, titled “Economic aspects of nuclear investment in Poland — influence on business, the labor market and local communities,” also says that the nuclear energy program will generate 40,000 jobs over the next five decades.

According to the most optimistic scenario, 70 percent of the value of the investments in nuclear energy should be realized by Polish companies, and the total investment realized by them could reach close to $40 billion.

If the combination of Covid-19 and remote work technologies like Zoom have undercut the role of cities in economic life, what might an even more robust technology like the metaverse do? Will it finally be the big upheaval that obliterates the role of cities and density? To paraphrase Airbnb CEO Brian Chesky: The place to be was Silicon Valley. It feels like now the place to be is the internet.

The simple answer is no, and for a basic reason. Wave after wave of technological innovation — the telegraph, the streetcar, the telephone, the car, the airplane, the internet, and more — have brought predictions of the demise of physical location and the death of cities.


Remote work has become commonplace since the beginning of the Covid-19 pandemic. But the focus on daily remote work arrangements may miss a larger opportunity that the pandemic has unearthed: the possibility of a substantially increased labor pool for digital economy work. To measure interest in digital economy jobs, defined as jobs within the business, finance, art, science, information technology, and architecture and engineering sectors, the authors conducted extensive analyses of job searches on the Bing search engine, which accounts for more than a quarter of all desktop searches in the U.S. They found that, not only did searches for digital economy jobs increase since the beginning of the pandemic, but those searches also became less geographically concentrated. The single biggest societal consequence of the dual trends of corporate acceptance of remote work and people’s increased interest in digital economy jobs is the potential geographic spread of opportunity.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.334003 data-title= Who Gets to Work in the Digital Economy? data-url=/2022/08/who-gets-to-work-in-the-digital-economy data-topic= Business and society data-authors= Scott Counts; Siddharth Suri; Alaysia Brown; Brian Xu; Sharat Raghavan data-content-type= Digital Article data-content-image=/resources/images/article_assets/2022/08/Aug22_04_509299271-383x215.jpg data-summary=

China, which face population collapse due to low fertility rate, is starting to take steps to encourage more births.

China’s fertility rate is 1.1 children per woman. Replacement level to maintain a stable population size is 2.1 children per woman.


A total of 17 Chinese government departments on Tuesday jointly released a guideline on support policies in finance, tax, housing, employment, education and other fields to create a fertility-friendly society and encourage families to have more children, as the country faces growing pressure from falling birth rates.

Analysts said that it is rare to see so many ministries and departments jointly release such a detailed and comprehensive guideline on encouraging fertility and supporting childbearing, underscoring the seriousness of the growth rate of China’s population, which has slowed significantly, with a contraction expected before 2025.

As investors continue to put money into technology companies making a difference, there is a misconception that a majority of investors belong to younger generations. New research shows the distribution in ESG-motivated investment: 54% are Gen Z and millennials, 42% are baby boomers, and 25% are Gen Xers.

ESG Standards That Younger Generations Care About

From combatting climate change to expanding diversity in the boardroom and instituting more corporate equitable policies, technology companies need to understand what Gen Z and Gen X care about. If any sector of the global economy is sensitive to ESG it should be technology with its appeal to younger audiences. That’s why the recent acceleration of widespread reporting on ESG principles and practices is creating a shift in power, money and jobs from baby boomers to millennials and Gen Z, in which passive investing, COVID, social injustice issues, the Great Resignation and talent shortages are all contributing factors.

A documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China.

FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society.

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